#11240. Semantic pattern detection in COVID-19 using contextual clustering and intelligent topic modeling

August 2026publication date
Proposal available till 23-05-2025
4 total number of authors per manuscript0 $

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Journal’s subject area:
Communication;
Library and Information Sciences;
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Abstract:
In this paper, a novel semantic pattern detection approach in the COVID-19 literature is presented.
Keywords:
Latent dirichlet allocation; Latent semantic analysis; Log frequency biased mutual dependency; Mutual information; Vector space model

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